|Publication number||US20050171832 A1|
|Application number||US 10/866,954|
|Publication date||Aug 4, 2005|
|Filing date||Jun 14, 2004|
|Priority date||Jan 29, 2004|
|Also published as||US8612359, WO2005076184A1|
|Publication number||10866954, 866954, US 2005/0171832 A1, US 2005/171832 A1, US 20050171832 A1, US 20050171832A1, US 2005171832 A1, US 2005171832A1, US-A1-20050171832, US-A1-2005171832, US2005/0171832A1, US2005/171832A1, US20050171832 A1, US20050171832A1, US2005171832 A1, US2005171832A1|
|Inventors||Mark Hull, Ellen Perelman, F. Farmer|
|Original Assignee||Yahoo! Inc.|
|Export Citation||BiBTeX, EndNote, RefMan|
|Patent Citations (1), Referenced by (105), Classifications (6), Legal Events (1)|
|External Links: USPTO, USPTO Assignment, Espacenet|
This Utility Application claims priority from U.S. Provisional Application No. 60/540,505, filed Jan. 29, 2004, and from U.S. Provisional Application No. 60/544,639, filed Feb. 13, 2004, the benefit of the earlier filing dates of which are hereby claimed under 35 U.S.C. 119(e).
The present invention relates generally to computing software for making a user's online portal information available to the user's online social network, and more particularly to a method and system for accessing information regarding the user's stored information and behaviors through the online portal for use in the user's online social network.
A social network typically comprises-a person's set of direct and indirect personal relationships. Direct personal relationships usually include relationships with family members, friends, colleagues, coworkers, and other people with which the person has had some form of direct contact, such as contact in person, by telephone, by email, by instant message, by letter, and the like. These direct personal relationships are sometimes referred to as first degree relationships. First degree relationships can have varying degrees of closeness, trust, and other characteristics. These relationships can also be unidirectional or bidirectional. A unidirectional relationship typically means that a first person is willing and able to interact with a second person, but the second person is not willing or able to interact with the first person. Conversely, a bidirectional relationship typically means that both people are willing and able to interact with each other.
Indirect personal relationships typically include relationships through first degree relationships to people with whom a person has not had some form of direct contact. For example, a friend of a friend represents an indirect personal relationship. A more extended, indirect relationship might be a friend of a friend of a friend. These indirect relationships are sometimes characterized by a degree of separation between the people. For instance, a friend of a friend can be characterized as a second degree relationship.
Non-limiting and non-exhaustive embodiments of the present invention are described with reference to the following drawings. In the drawings, like reference numerals refer to like parts throughout the various figures unless otherwise specified.
For a better understanding of the present invention, reference will be made to the following Detailed Description of the Invention, which is to be read in association with the accompanying drawings, wherein:
The present invention now will be described more fully hereinafter with reference to the accompanying drawings, which form a part hereof, and which show, by way of illustration, specific exemplary embodiments by which the invention may be practiced. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. Among other things, the present invention may be embodied as methods or devices. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. The following detailed description is, therefore, not to be taken in a limiting sense.
The terms “comprising,” “including,” “containing,” “having,” and “characterized by,” refer to an open-ended or inclusive transitional construct and does not exclude additional, unrecited elements, or method steps. For example, a combination that comprises A and B elements, also reads on a combination of A, B, and C elements.
The meaning of “a,” “an,” and “the” include plural references. The meaning of “in” includes “in” and “on.” Additionally, a reference to the singular includes a reference to the plural unless otherwise stated or is inconsistent with the disclosure herein.
The term “or” is an inclusive “or” operator, and includes the term “and/or,” unless the context clearly dictates otherwise.
The phrase “in one embodiment,” as used herein does not necessarily refer to the same embodiment, although it may. Similarly, the phrase “in another embodiment,” as used herein does not necessarily refer to a different embodiment, although it may.
The term “based on” is not exclusive and provides for being based on additional factors not described, unless the context clearly dictates otherwise.
Briefly stated, the present invention is directed towards providing a system, apparatus, and method for making a user's online behavior information available to the user's online social network. Accordingly, the term “user” can include an online portal subscriber and/or an online social network user. The term social network can include a group of people with which a user has direct and/or indirect relationships, as well as a service for communicating information to and/or from any of the people with which a user has direct and/or indirect relationships.
However, an indirect relationship can also be through a shared interest, without any degree of personal relationship between intermediate people. For example, a set of complete strangers can comprise a social network on the basis of a common interest in a topic or an activity, such as fishing. At first, each person may only have a relationship with the activity of fishing, without any relationship through other people in the set. However, the activity of fishing can act as a node that binds the set of people into a social network, just as if the node were a mutual friend of each person in the set. The members of the set can build people relationships by somehow expressing to each other the common interest in the activity. Once a person is aware of another person with the same interest, the people can choose to interact. Thus, the term social network includes a group of people associated by a common interest and/or a service for communicating information to and/or from any of the people with which a user has an interest relationship.
Personal relationships and/or interest relationships can be utilized to find and develop relevant connections for a variety of activities, such as job networking, service referrals, dating, and the like. Finding and developing relevant connections can be accelerated with online services. Online social networking can be used to mine personal and/or interest relationships in a way that is often more difficult and/or time-consuming to do offline. However, because individuals are more likely to trust and value the opinions of people they know, over those of complete strangers, it may take additional time for new members of an online social network to be trusted by existing members of the online social network. This trust can be built faster if additional information about the new member is available, especially if the additional information comes from a trusted source. It is with respect to these considerations and others that the present invention has been made.
To build trust quickly, information about a new member gathered from other venues can be provided to the existing members of the online social network. For example, information about a new member's behavior in an online portal can be made accessible to existing members of the online social network. In addition to behavior information, such portal information can comprise user-defined information, portal assessment information, and the like. User-defined information can include contact lists, preferences, survey responses, and other information provided by the user. User behavior information can include frequency of visiting Web sites, types of online purchases, types of online communication used most often, duration of participating in online activities, and other information that can be detected about a user's online actions. Portal assessment information can include compliments about a user, complaints about a user, reputation assessments from peer users, comparison between user-defined information and user behavior information, spam detection about a user, and other information determined by others about a user. Many other types of information can be stored and/or determined by an online portal regarding a user. The present invention enables members of an online social network to access and/or share portal information, thereby enabling members to learn more about each other, to quickly identify compatible members, to speed the process of building trust among members, and generally to enhance experiences relating to the online social network.
Illustrative Operating Environment
As shown in the figure, a system 100 includes client devices 102-104, a network 105, a portal server 106, and a social network server (SNS) 108. Network 105 is in communication with and enables communication between each of client devices 102-104, portal server 106, and SNS 108.
Client devices 102-104 may include virtually any computing device capable of receiving and sending a message over a network, such as network 105, to and from another computing device, such as portal server 106 and/or SNS 108, each other, and the like. The set of such devices may include devices that typically connect using a wired communications medium such as personal computers, multiprocessor systems, microprocessor-based or programmable consumer electronics, network PCs, and the like. The set of such devices may also include devices that typically connect using a wireless communications medium such as cell phones, smart phones, pagers, walkie talkies, radio frequency (RF) devices, infrared (IR) devices, CBs, integrated devices combining one or more of the preceding devices, or virtually any mobile device, and the like. Similarly, client devices 102-104 may be any device that is capable of connecting using a wired or wireless communication medium such as a PDA, POCKET PC, wearable computer, and any other device that is equipped to communicate over a wired and/or wireless communication medium.
Client devices 102-104 may be further configured to receive a message from another computing device employing another mechanism, including, but not limited to email, Short Message Service (SMS), Multimedia Message Service (MMS), instant messaging (IM), internet relay chat (IRC), mIRC, Jabber, and the like.
Client devices 102-104 may be further configured to enable a user to access and/or manage a portal profile, an SNS profile, SNS category information, SNS activity participation, and the like, which may in turn be saved at a remote location, such as portal server 106 and/or SNS 108, and the like. As such, client devices 102-104 may further include a client application that is configured to manage various actions on behalf of the client device. For example, the client application may enable a user to interact with the browser application, email application, and the like, to customize the user's interaction with an online portal, to customize how another social network user might view a persona, profile, or the like. For example, the user may employ the client application, in part, to establish and/or modify an online portal profile, to interact with online portal services, such as financial information tools, to make online purchase, to store and communicate with contacts, and the like. The user may also employ the client application, in part, to establish and/or modify a portal profile and/or an SNS profile, to establish categories of SNS relationships to provide one customized view of SNS profile information for family members, another customized view for poker members, yet another view for fishing buddies, and the like.
Network 105 is configured to couple one computing device to another computing device to enable them to communicate. Network 105 is enabled to employ any form of computer readable media for communicating information from one electronic device to another. Also, network 105 may include a wireless interface, and/or a wired interface, such as the Internet, in addition to local area networks (LANs), wide area networks (WANs), direct connections, such as through a universal serial bus (USB) port, other forms of computer-readable media, or any combination thereof. On an interconnected set of LANs, including those based on differing architectures and protocols, a router acts as a link between LANs, enabling messages to be sent from one to another. Also, communication links within LANs typically include twisted wire pair or coaxial cable, while communication links between networks may utilize analog telephone lines, full or fractional dedicated digital lines including T1, T2, T3, and T4, Integrated Services Digital Networks (ISDNs), Digital Subscriber Lines (DSLs), wireless links including satellite links, or other communications links. Furthermore, remote computers and other related electronic devices could be remotely connected to either LANs or WANs via a modem and temporary telephone link. In essence, network 105 includes any communication method by which information may travel between client devices 102-104, portal server 106, and SNS 108.
The media used to transmit information in communication links as described above illustrates one type of computer-readable media, namely wired and/or wireless communication media. Generally, computer-readable media includes any media that can be accessed by a computing device. Computer-readable media may include computer storage media, communication media, or any combination thereof. Additionally, communication media typically embodies computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media. The terms “modulated data signal,” and “carrier-wave signal” includes a signal that has one or more of its characteristics set or changed in such a manner as to encode information, instructions, data, and the like, in the signal. By way of example, communication media includes wired media such as twisted pair, coaxial cable, fiber optics, wave guides, and other wired media and wireless media such as acoustic, RF, infrared, and other wireless media.
One embodiment of portal server 106 and/or SNS 108 is described in more detail below in conjunction with
Portal server 106 may be configured to send and/or make accessible, portal information associated with a user, and configured to enable the user to customize at least a portion of the portal information. Similarly, a SNS 108 may be configured to receive and/or access, the portal information and user input information for use as online social network information, and configured to enable the user to customize at least a portion of the social network information. The social network information may include, but is not limited to, user profile information, contact information, relationship category information, an activity, membership information associated with a relationship category, and the like.
SNS 108 may further employ the received and entered social network information to enable the user to customize a view associated with a social network relationship. By providing customized views, the user may put forth different online profiles, public personas, and the like, by sharing varying quantities of personal information with another social network user. Criteria employed to enable customization of the views may include, but is not limited to, degrees of separation, category of relationship (such as family, friend, colleague, and the like), as well as any assessment of closeness, trust, and the like, based on information about the relationship between the user and the prospective viewer, and the like. SNS 108 may also enable another social network user to view the customized view based on the received criteria. SNS 108 may employ a web service, email service, and the like, to make the customized view available to the other social network user, such as a user of one of client devices 102-104.
Illustrative Server Environment
Server 200 includes a processing unit 212, a video display adapter 214, and a mass memory, all in communication with each other via a bus 222. The mass memory generally includes RAM 216, ROM 232, and one or more permanent mass storage devices, such as an optical drive 226, a hard disk drive 228, a tape drive, and/or a floppy disk drive. The mass memory stores an operating system 220 for controlling the operation of server 200. Any general-purpose operating system may be employed. A basic input/output system (“BIOS”) 218 is also provided for controlling low-level operation of server 200. As illustrated in
The mass memory as described above illustrates another type of computer-readable media, namely computer storage media. Computer storage media may include volatile, nonvolatile, removable, and non-removable media implemented in any method or technology for storage of information, such as computer readable instructions, data structures, program modules, or other data. Examples of computer storage media include RAM, ROM, EEPROM, flash memory, or other memory technology, CD-ROM, digital versatile disks (DVD), or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage, or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computing device.
The mass memory also stores program code and data. One or more applications 250 are loaded into mass memory and run on operating system 220. Examples of application programs include email programs, schedulers, calendars, web services, transcoders, database programs, word processing programs, spreadsheet programs, and so forth. Mass storage may further include applications such as a behavior tracker 254, a category/activity store 256, and a profile store 258. Category/activity store 256 may include a database, text, folder, file, and the like, that is configured to maintain and store information that identifies a relationship category, an activity, and the like. While category/activity store 256 may store identification information, profile store 258, described below, may store profile and criteria information for each portal subscriber and/or social network user. Profile store 258 can comprise multiple distributed data stores, such as a portal subscriber profile data store on portal server 106, and a social network profile data store on SNS 108.
A category may represent a classification of users and/or corresponding relationships within a user's social network, such as family members, friends, co-workers, poker buddies, fishing buddies, and the like. Social network users can establish their own categories and profile information based on corresponding portal profile data and/or manually entered data. Information relating to a category may be accessible to those identified as members of the category by the creating social network user. However, the invention is not so limited, and global categories may be established that provide profile information about a social network user to virtually any other social network user. Each category may include a set of user-definable social network user information. When the category is user-definable, the set of social network user information (profile information) may also be user-definable. For example, the user may determine that social network user information associated with hobbies may be included in a category for sports, while it may be excluded from a category associated with religion, and the like.
An activity may include virtually any way, manner, and the like, in which a social network user may select to employ their social network connections. For example, activities may include, but are not limited to, dating, job seeking, reconnecting with military comrades, communicating with fellow alumni, seeking help & advice, and the like. It may be desired, although not required, that an activity be globally configured and managed by an online social network service, and made available to all users of the online social network service. Additionally, at least a minimum set of profile information associated with the activity may be globally established. For example, if the activity includes dating, the minimum set of profile information, may include, but is not limited to age, sexual preference, information associated with one's physical appearance, and the like. If the activity includes job search, employment search, and the like, the minimum set of profile information may include, but is not limited to, job history, salary desired, job qualifications, experience, and the like. However, an activity may further include an optional set of profile information, such as achievements, hobbies, recommendations, and the like. Such profile information can be provided from the portal to the online social network service or otherwise accessed by the online social network service.
Profile store 258 may include a database, text, folder, file, and the like, that is configured to maintain and store information associated with a portal subscriber and/or a corresponding social network user. For example, a portal subscriber's portal profile may include, but is not limited to such information as name, alias, nickname, age, email address, address book, online behaviors, and the like. In one embodiment, a collection of such information may be provided to an online social network service to comprise a basic social network profile for the social network user. Additional information may also be included in profile store 258 that includes category profile information, activity profile information and the like. Such additional information may include, but is not limited to, a photograph, a hobby, a job history, a school history, career information, dating information, military information, sports information, religious information, sexual orientation, politics, interests, favorite sites, self description, frequency of accessing a Web site, duration of participating in an online activity, number of purchases made from an online vendor, and the like. In one embodiment, at least some information includes a Universal Resource Locator (URL). Virtually any information associated with the portal subscriber and associated social network user may be included within profile store 258.
Moreover, profile store 258 may store and maintain criteria associated with how profile information may be viewed by another social network user. For example, profile store 258 may include criteria indicating that only a member of a particular category may view a particular photograph, a subset of profile information, and the like. While information may be selected at a field by field level of granularity, the present invention however, is not so limited. For example, the present invention enables the social network user to establish criteria that is based on a relationship between the prospective viewer and the user. The relationship criteria may then be employed to map various collections, groupings, sets, and the like, of portal profile information, to a corresponding social network profile. As such, the social network user, for example, may establish criteria such that any other social network user that is within some predetermined degrees of separation may view a predetermined set of social network profile information that is mapped from corresponding portal profile information.
Behavior tracker 254 is configured to detect and store information regarding a portal subscriber's online actions and can determine profile characteristics about the portal subscriber. For example, behavior tracker 254 can detect that a portal subscriber navigated to one or more news Web sites at approximately the same time each day for a current month, spent approximately twenty hours playing an online game during each week of the current month, made purchases from multiple overseas vendors of copied software, participated in a hacker chat room, performed searches for movie times, sent an email messages to a thousand sequential addresses in one day, and/or performed other actions. From these actions, behavior tracker 254 can determine characteristics about the portal subscriber, assess the accuracy of information provided by the portal subscriber to the online portal, gather feedback about the portal subscriber submitted by other portal subscribers, and perform other tracking and evaluation operations. For instance, behavior tracker 254 can give a low weighting to portal profile information submitted by the portal subscriber, which indicated that the portal subscriber was a practicing dentist. Behavior tracker 254 might also specification explains that a flag, indicating that the portal subscriber might be engaged in spamming. Other aspects of behavior tracker 254 are described in more detail below in conjunction with
Although illustrated in
Server 200 may also include a simple mail transfer protocol (SMTP) handler application for transmitting and receiving email. Server 200 may also include a hypertext transfer protocol (HTTP) handler application for receiving and handing HTTP requests, and an HTTP secure sockets (HTTPS) handler application for handling secure connections. The HTTPS handler application may initiate communication with an external application in a secure fashion.
The operation of certain aspects of the present invention will now be described with respect to
The process is typically entered when portal subscriber registers with an online portal. Initially, a portal subscriber's portal profile may only include a user ID. However, the portal subscriber can enter other information such a name, age, preferences, interests, contact list, and the like. The entered information is stored in the portal profile and is usually accessible to the portal subscriber. Typically, with the portal subscriber's consent, the online portal also tracks and stores the portal subscriber's behavior in a portal profile, at an operation 302. Some, or all, of the tracked information can be accessible to, or hidden from, the portal subscriber. In addition, the portal can add information to the portal profile indicating characteristics, possible interests, and/or other information determined about the portal subscriber. For example, the portal can determine that the portal subscriber uses the portal mostly to read news, mostly to find a job, mostly to write blogs, and/or other usage habits.
At a decision operation 304, the portal can use some of the above information to determine whether the portal subscriber has engaged in-spamming behavior, and/or other behavior that is deemed undesirable by portal operators, by other portal subscribers, by law, and the like. If the portal determine that the portal subscriber has engaged in undesirable behavior, such as spamming, the portal can indicate this fact in the portal subscriber's portal profile, at an operation 306. The portal can also take additional action is desired, such as warning the portal subscriber, sanctioning the portal subscriber, terminating the portal subscriber's access to the portal, and the like.
Whether or not the portal subscriber has engaged in undesirable behavior, the portal can optionally provide a advertisements and/or perform other operations, at an operation 308, based on information entered, tracked, and/or determined regarding the portal subscriber. As an example, the portal can determine and advertise an online social network service that the portal subscriber might find interesting. More specifically, the portal can advertise one or more social network activities for which the portal subscriber's portal profile data sufficiently matches membership criteria in the social network activity. The advertisement can include a link to the matching social network activities.
If the portal subscriber decides to participate in a social network, the information already obtained through the portal can be provided to the social network. Accordingly, at a decision operation 310, the portal determines whether a request has been received a from the portal subscriber, from the social network, and/or from an intermediary, to provide the portal profile information to the social network. When no request is received, the portal process returns to operation 302 to continue tracking the portal subscriber's behavior. When a request is received, the portal checks the portal subscriber's current actions, at an operation 312. Current actions can include listening to music streamed to the portal subscriber's computer, viewing a particular Web site, and the like. The current actions and the portal profile can then be made accessible to the social network, at an operation 314. Portal processing again returns to operation 302 to continue tracking the portal subscriber's behavior.
Social Network Service Processes
The process is typically entered when a portal subscriber registers as a user of an online social network service and requests importation of the user's corresponding portal profile information. At a decision operation 402, the online social network service determines whether the user has agreed to import, or otherwise access, the user's corresponding portal profile information through an interface with the online social network service. If the user has not agreed, processing continues as if the user does not have portal profile information. In that case, the user would have to enter information and/or the online social network service would have to track the user's behavior through the online social network service. However, if the user agrees to import, or otherwise access, the user's corresponding portal profile information, the online social network service accesses the portal profile at an operation 404. The access and/or importation can comprise a mapping of portal profile data fields to social network profile data fields. Such a mapping can be complete or partial. For example, with one click, the user's entire portal profile can be imported to create the user's social network profile. Conversely, if the user is logged onto the portal, the user can export the user's entire portal profile with one click to create the user's social network profile. Alternatively, the user can select to create a vertical profile that corresponds to a social network activity, category, and/or other grouping. For instance, the user can select to create a resume profile, a personals profile, and the like. A predefined set of data fields from the user's portal profile can be mapped to the vertical profile as an export or import operation from the portal service or the social network service, respectively. The vertical profile can be a separate profile and/or a subset of the user's portal profile and/or the user's social network profile.
At a decision operation 406, the online social network service can evaluate the information now in the social network profile to determine whether the user engaged in undesirable behavior, such as spamming. The social network profile can be analyzed independently by the online social network service and/or the social network profile can simply include a flag from the portal profile, indicating that the user engaged in undesirable behavior through the portal. Based on this evaluation, the online social network service and/or members of the social network can take precautionary actions. For example, at an operation 408, the online social network service can impose a sanction on the user, limit the user's access to all or portions of the online social network service, issue a warning to the user, increase scrutiny of the user's subsequent actions related to the online social network service, and the like. Similarly, at an operation 410, the online social network service can inform the user's portal, and/or other social network users, of the user's previous portal misbehavior(s) and/or current misbehaviors through the online social network service.
If the user has not engaged in undesired behavior, or if the user's portal profile data has not been accessed, the online social network service can enable the user to edit the user's social network profile, at an operation 412. If there is an indication that the user engaged in undesired behavior, the user may be restricted from editing all, or portions, of the user's social network profile. This restriction can prevent the user from removing indications that the user engaged in undesired behavior. However, aside from any restriction, the user can add and/or modify information in the user's social network profile. For example, the user may wish to retain much of the information imported from the user's corresponding portal profile, which is based on the user's individual interactions with the online portal, but remove information about some of those interactions that the user does not wish to share with any members of the social network. Alternatively, or in addition, the user may wish to indicate an interest in activities that were not available through the online portal.
Based on the information imported from the portal profile and/or revisions to the social network profile, the online social network service can share appropriate portions of the user's social network profile data with other members of the online social network service, at an operation 414. For instance, the imported portal profile data may indicate that the user frequently visited a certain college's alumni Web site through the online portal, but had not necessarily participated in a corresponding alumni service through the portal. The social network profile may also be modified when the user joins a job seeking activity through the online social network service. With this combination of information available, the online social network service can be configured (by the user and/or by the online social network service) to share the user's work-related information with potential employers involved in the job seeking activity who have also indicated an association with the same college. Such assessments of portal profile data can help the user build a relevant social network through the online social network service quickly and easily. Additional detail regarding sharing profile data is described below with regard to
The online social network service can make additional assessments by tracking the user's behaviors associated with the online social network service, at an operation 416. For example, the online social network service can track frequency, duration, and/or other attributes of the user's participation in various activities. The online social network service can periodically evaluate the user's behaviors, at decision operation 406, to detect any undesirable behaviors such as spamming. This periodic evaluation can assess behaviors tracked by the online social network service, and/or the online social network service can access updated information from the corresponding portal profile.
At an operation 422, the online social network service can compare the imported portal profile data, current actions, and/or other portions of the social network profile data with membership criteria for public activities available through the online social network service. A public activity can comprise activity that is available to any interested member of the online social network service, such as a job seeking activity, a dating activity, and the like. A statistical analysis of the user's profile data can be performed to determine whether any statistically significant matches exists. For example, if the user's corresponding portal profile indicates frequent visits to the portal's stock portfolio tracking service, then the user might be interested in joining a public investment club. Sufficiently matching public activities can be advertised to the user with corresponding links.
The online social network service can determine, at a decision operation 424, whether the user has selected to participate in one or more of the matching public activities. If the user has elected to participate in a public activity, the online social network service can expose one or more predefined data fields from the user's social network profile, at an operation 426, to other users who are participating in the same public activity. The predefined data fields can be those data fields that are predetermined to be relevant to the selected public activity. The corresponding data of the predefined data fields can be data that was obtained from the user's corresponding portal profile and/or data obtained through the online social network service. Exposing such relevant data can be performed by simply making the relevant data available for searching by other members of the activity. Alternatively, or in addition, the online social network service can send an announcement to the other members of the activity. If the user did not select a public activity, operation 426 may be skipped and only limited data, or no data, may be exposed to other members of the online social network service.
Regardless of whether the user elects to participate in a public activity, the online social network service can automatically seed, or otherwise build, user-defined categories, at an operation 428. User-defined categories comprise groups of people who have corresponding user-defined relationships with the user, such as family relationships, friend relationships, acquaintance relationships, professional relationships, and the like. The relationships and corresponding groups of people can be identified from contact lists, buddy lists, lists of favorite celebrities, lists of most admired business leaders, and/or other data obtained from the portal profile and updated social network profile. Such lists can be entered by the user and/or determined by evaluating the user's behaviors in relation to the portal and/or the social network. For instance, the portal may determine a list of most admired business leaders, by evaluating biographical books purchased by the user through the portal.
The online social network service can use some of the data, such as contact lists, to establish the user's first degree relationships with people in the contact list who are also members of the online social network service. These relationships can be established automatically, or the lists can be used to issue invitations through the online social network service. The invitations should include at least an identifier of the inviting user, but may include other user-selectable data about the inviting user. Using invitations gives each recipient an opportunity to decline to carry over a relationship from the portal to the online social network service. This may be useful for unidirectional relationships (i.e., the inviting user wants to associate with the invited user, but the invited user does not want to associate with the inviting user).
For other profile data, such as a list of most admired business leaders, the online social network service can attempt to determine higher degree relationships based on the user's first degree relationships, and/or relationships of those people that the user knows and who also utilize the online social network service.
Once the user-definable categories have been established, the user can choose to have the online social network service expose user-selected data fields to all, or user-selected, members of the user-defined categories, at an operation 430. For user-defined categories that are established by invitations that include some data from the social network profile, additional user-selectable data fields can be exposed. The user-selectable data fields can correspond to user-defined criteria for managing a view of the user's social profile information. The user-defined criteria may be applied towards a user's relationship with each prospective viewer. The user-defined criteria may include degrees of separation between members of the social network, a relationship to the prospective viewer, as well as criteria based, in part, on activities, such as dating, employment, hobbies, and the like. Such user-defined relationship criteria may then be mapped against various user-defined categories of information associated with social network user to provide customized views of the social network user. Such customized views may be employed to portray various personas to other users of the social network, and to enhance the user's own overall value of the social networking experience.
It will be understood that each block of the flowchart illustrations discussed above, and combinations of blocks in the flowchart illustrations above, can be implemented by computer program instructions. These program instructions may be provided to a processor to produce a machine, such that the instructions, which execute on the processor, create means for implementing the operations indicated in the flowchart block or blocks. The computer program instructions may be executed by a processor to cause a series of operational steps to be performed by the processor to produce a computer-implemented process such that the instructions, which execute on the processor, provide steps for implementing the actions specified in the flowchart block or blocks.
Accordingly, blocks of the flowchart illustrations support combinations of means for performing the indicated actions, combinations of steps for performing the indicated actions and program instruction means for performing the indicated actions. It will also be understood that each block of the flowchart illustrations, and combinations of blocks in the flowchart illustrations, can be implemented by special purpose hardware-based systems which perform the specified actions or steps, or combinations of special purpose hardware and computer instructions.
The above specification, examples, and data provide a complete description of the manufacture and use of the composition of the invention. Since many embodiments of the invention can be made without departing from the spirit and scope of the invention, the invention resides in the claims hereinafter appended.
|Cited Patent||Filing date||Publication date||Applicant||Title|
|US20020023132 *||Mar 19, 2001||Feb 21, 2002||Catherine Tornabene||Shared groups rostering system|
|Citing Patent||Filing date||Publication date||Applicant||Title|
|US7483969 *||Oct 9, 2006||Jan 27, 2009||Microsoft Corporation||Managing presence based on relationship|
|US7596597||Aug 31, 2006||Sep 29, 2009||Microsoft Corporation||Recommending contacts in a social network|
|US7603292||Jun 30, 2004||Oct 13, 2009||Google Inc.||Methods and systems for providing a gift registry|
|US7698380||Dec 14, 2006||Apr 13, 2010||Qurio Holdings, Inc.||System and method of optimizing social networks and user levels based on prior network interactions|
|US7702653 *||Jun 30, 2004||Apr 20, 2010||Google Inc.||Methods and systems for triggering actions|
|US7730216||Dec 14, 2006||Jun 1, 2010||Qurio Holdings, Inc.||System and method of sharing content among multiple social network nodes using an aggregation node|
|US7764701||Feb 22, 2006||Jul 27, 2010||Qurio Holdings, Inc.||Methods, systems, and products for classifying peer systems|
|US7779004||Feb 22, 2006||Aug 17, 2010||Qurio Holdings, Inc.||Methods, systems, and products for characterizing target systems|
|US7782866||Sep 29, 2006||Aug 24, 2010||Qurio Holdings, Inc.||Virtual peer in a peer-to-peer network|
|US7801971||Sep 26, 2006||Sep 21, 2010||Qurio Holdings, Inc.||Systems and methods for discovering, creating, using, and managing social network circuits|
|US7836088||Oct 26, 2006||Nov 16, 2010||Microsoft Corporation||Relationship-based processing|
|US7853622||Nov 1, 2007||Dec 14, 2010||Google Inc.||Video-related recommendations using link structure|
|US7873988||Sep 6, 2006||Jan 18, 2011||Qurio Holdings, Inc.||System and method for rights propagation and license management in conjunction with distribution of digital content in a social network|
|US7925592||Sep 27, 2006||Apr 12, 2011||Qurio Holdings, Inc.||System and method of using a proxy server to manage lazy content distribution in a social network|
|US7933228||Oct 7, 2008||Apr 26, 2011||Keep In Touch Services, Inc.||Time sensitive scheduling data delivery network|
|US7949611||May 5, 2010||May 24, 2011||Symantec Corporation||Controlling access to profile information in a social network|
|US7961986||Jun 30, 2008||Jun 14, 2011||Google Inc.||Ranking of images and image labels|
|US8010459||Aug 26, 2004||Aug 30, 2011||Google Inc.||Methods and systems for rating associated members in a social network|
|US8015019||Aug 3, 2004||Sep 6, 2011||Google Inc.||Methods and systems for providing a document|
|US8015119||Aug 26, 2004||Sep 6, 2011||Google Inc.||Methods and systems for the display and navigation of a social network|
|US8019875||Jun 4, 2004||Sep 13, 2011||Google Inc.||Systems and methods for indicating a user state in a social network|
|US8041082||Nov 2, 2007||Oct 18, 2011||Google Inc.||Inferring the gender of a face in an image|
|US8055536||Mar 21, 2007||Nov 8, 2011||Qurio Holdings, Inc.||Automated real-time secure user data sourcing|
|US8055664||May 1, 2007||Nov 8, 2011||Google Inc.||Inferring user interests|
|US8060405||Dec 31, 2004||Nov 15, 2011||Google Inc.||Methods and systems for correlating connections between users and links between articles|
|US8060463 *||Mar 30, 2005||Nov 15, 2011||Amazon Technologies, Inc.||Mining of user event data to identify users with common interests|
|US8095551 *||Aug 18, 2005||Jan 10, 2012||Microsoft Corporation||Annotating shared contacts with public descriptors|
|US8126973 *||Dec 28, 2007||Feb 28, 2012||International Business Machines Corporation||System and method for incorporating social networking maps in collaboration tooling and devices|
|US8145679||Dec 13, 2010||Mar 27, 2012||Google Inc.||Video-related recommendations using link structure|
|US8156158||Jul 18, 2007||Apr 10, 2012||Famillion Ltd.||Method and system for use of a database of personal data records|
|US8224773||Nov 7, 2011||Jul 17, 2012||Amazon Technologies, Inc.||Mining of user event data to identify users with common interests|
|US8239418||Feb 15, 2012||Aug 7, 2012||Google Inc.||Video-related recommendations using link structure|
|US8275771||Jun 7, 2010||Sep 25, 2012||Google Inc.||Non-text content item search|
|US8306922||Oct 1, 2009||Nov 6, 2012||Google Inc.||Detecting content on a social network using links|
|US8311950||Oct 1, 2009||Nov 13, 2012||Google Inc.||Detecting content on a social network using browsing patterns|
|US8321462 *||Mar 30, 2007||Nov 27, 2012||Google Inc.||Custodian based content identification|
|US8326091||May 9, 2011||Dec 4, 2012||Google Inc.||Ranking of images and image labels|
|US8341169||Mar 18, 2010||Dec 25, 2012||Google Inc.||Open profile content identification|
|US8346864||Dec 13, 2006||Jan 1, 2013||Qurio Holdings, Inc.||Systems and methods for social network based conferencing|
|US8355955||Aug 30, 2010||Jan 15, 2013||Amazon Technologies, Inc.||Method, medium, and system for adjusting a selectable element based on social networking usage|
|US8356035||Apr 10, 2007||Jan 15, 2013||Google Inc.||Association of terms with images using image similarity|
|US8381309||Dec 9, 2007||Feb 19, 2013||Famillion Ltd.||Methods and systems for secure communication over a public network|
|US8412780||Mar 30, 2005||Apr 2, 2013||Google Inc.||Methods and systems for providing current email addresses and contact information for members within a social network|
|US8429090||Apr 12, 2011||Apr 23, 2013||Google Inc.||Methods and systems for controlling access to relationship information in a social network|
|US8473500||Nov 7, 2011||Jun 25, 2013||Google Inc.||Inferring user interests|
|US8478841||Jun 20, 2008||Jul 2, 2013||Kenneth J. Spitzer||Systems and methods for managing electronically delivered information channels|
|US8489516||Sep 14, 2012||Jul 16, 2013||Google Inc.||Methods and systems for controlling access to relationship information in a social network|
|US8521591||Oct 11, 2011||Aug 27, 2013||Google Inc.||Methods and systems for correlating connections between users and links between articles|
|US8538810||Mar 29, 2005||Sep 17, 2013||Google Inc.||Methods and systems for member-created advertisement in a member network|
|US8554723 *||Jul 12, 2012||Oct 8, 2013||Amazon Technologies, Inc.||Mining of user event data to identify users with common interest|
|US8572099||Jan 14, 2011||Oct 29, 2013||Google Inc.||Advertiser and user association|
|US8600833 *||Oct 25, 2010||Dec 3, 2013||Amazon Technologies Inc.||User interest tagging|
|US8606787||Sep 15, 2010||Dec 10, 2013||Google Inc.||Social network node clustering system and method|
|US8676854||Mar 18, 2008||Mar 18, 2014||International Business Machines Corporation||Computer method and apparatus for using social information to guide display of search results and other information|
|US8706566||Dec 19, 2012||Apr 22, 2014||Amazon Technologies, Inc.||Method, medium, and system for adjusting a selectable element based on social networking usage|
|US8738468||Sep 14, 2012||May 27, 2014||Amazon Technologies, Inc.||System and method of providing recommendations using social networks|
|US8768922||Feb 8, 2008||Jul 1, 2014||Microsoft Corporation||Ad retrieval for user search on social network sites|
|US8775326||Mar 26, 2013||Jul 8, 2014||Google Inc.||Methods and systems for controlling access to relationship information in a social network|
|US8775328||Mar 10, 2014||Jul 8, 2014||Raj Abhyanker||Geo-spatially constrained private neighborhood social network|
|US8775452||Sep 14, 2007||Jul 8, 2014||Nokia Corporation||Method, apparatus and computer program product for providing standard real world to virtual world links|
|US8832132||Jun 22, 2004||Sep 9, 2014||Google Inc.||Personalizing search queries based on user membership in social network communities|
|US8849821 *||Nov 4, 2006||Sep 30, 2014||Nokia Corporation||Scalable visual search system simplifying access to network and device functionality|
|US8856125||Sep 7, 2012||Oct 7, 2014||Google Inc.||Non-text content item search|
|US8869241||Jun 29, 2012||Oct 21, 2014||Elwha Llc||Network acquired behavioral fingerprint for authentication|
|US8892508 *||Oct 7, 2013||Nov 18, 2014||Amazon Techologies, Inc.||Mining of user event data to identify users with common interests|
|US8898804||Nov 27, 2012||Nov 25, 2014||Applied Research Works, Inc.||System and method for selectively sharing information|
|US8924465||Nov 6, 2007||Dec 30, 2014||Google Inc.||Content sharing based on social graphing|
|US8942993 *||Jul 5, 2011||Jan 27, 2015||Google Inc.||Profile advertisements|
|US8965999 *||Aug 31, 2006||Feb 24, 2015||At&T Intellectual Property I, L.P.||Distribution scheme for subscriber-created content, wherein the subscriber-created content is rendered for a recipient device by the service provider network based on a device characteristic and a connection characteristic of the recipient device|
|US8990198||Nov 4, 2007||Mar 24, 2015||Ilan Cohn||Method and system for computerized management of related data records|
|US9015860||Sep 28, 2012||Apr 21, 2015||Elwha Llc||Behavioral fingerprinting via derived personal relation|
|US9020839||Dec 20, 2012||Apr 28, 2015||Amazon Technologies, Inc.||Method, medium, and system for customizing content based on social network information|
|US9022324||May 5, 2014||May 5, 2015||Fatdoor, Inc.||Coordination of aerial vehicles through a central server|
|US9026537||Nov 22, 2013||May 5, 2015||Google Inc.||Social network node clustering system and method|
|US9064288||Feb 27, 2014||Jun 23, 2015||Fatdoor, Inc.||Government structures and neighborhood leads in a geo-spatial environment|
|US9070101||Mar 13, 2014||Jun 30, 2015||Fatdoor, Inc.||Peer-to-peer neighborhood delivery multi-copter and method|
|US9071367||Nov 26, 2013||Jun 30, 2015||Fatdoor, Inc.||Emergency including crime broadcast in a neighborhood social network|
|US9083687||Jul 31, 2012||Jul 14, 2015||Elwha Llc||Multi-device behavioral fingerprinting|
|US9098545||Jul 10, 2007||Aug 4, 2015||Raj Abhyanker||Hot news neighborhood banter in a geo-spatial social network|
|US9106845||Jun 7, 2011||Aug 11, 2015||Predictive Edge Technologies, Llc||Remote dynamic indication of supervisory control and monitoring|
|US20050159970 *||Aug 26, 2004||Jul 21, 2005||Orkut Buyukkokten||Methods and systems for the display and navigation of a social network|
|US20050159998 *||Aug 26, 2004||Jul 21, 2005||Orkut Buyukkokten||Methods and systems for rating associated members in a social network|
|US20060282328 *||Jun 12, 2006||Dec 14, 2006||Gather Inc.||Computer method and apparatus for targeting advertising|
|US20070106721 *||Nov 4, 2006||May 10, 2007||Philipp Schloter||Scalable visual search system simplifying access to network and device functionality|
|US20080070688 *||Sep 20, 2006||Mar 20, 2008||John Loehrer||Real-time gaming system having scalable database|
|US20100153528 *||Dec 16, 2008||Jun 17, 2010||At&T Intellectual Property I, L.P.||Devices, Systems and Methods for Controlling Network Services Via Address Book|
|US20100318425 *||Jun 12, 2009||Dec 16, 2010||Meherzad Ratan Karanjia||System and method for providing a personalized shopping assistant for online computer users|
|US20110238591 *||Sep 29, 2011||Findly, Inc.||Automated profile standardization and competency profile generation|
|US20110264533 *||Oct 27, 2011||Tunguz-Zawislak Tomasz J||Profile Advertisements|
|US20110276480 *||Nov 10, 2011||Google Inc.||Profile Advertisements|
|US20120191545 *||Jul 26, 2012||Daniel Leibu||Systems and methods for managing a profile of a user|
|US20120284336 *||Nov 8, 2012||Schmidt Raymond J||Relevant relationships based networking environment|
|US20130133054 *||May 23, 2013||Marc E. Davis||Relationship Based Trust Verification Schema|
|US20130145280 *||Dec 5, 2012||Jun 6, 2013||Jeffry Keith Green||Relationship Centric Mobile Interface|
|US20130185218 *||Feb 7, 2013||Jul 18, 2013||Talentcircles, Inc.||Methods and apparatus for a social recruiting network|
|US20130191299 *||Feb 7, 2013||Jul 25, 2013||Talentcircles, Inc.||Methods and apparatus for a social recruiting network|
|US20140059203 *||Aug 23, 2012||Feb 27, 2014||Sap Ag||Prevention of coalition attacks in social network communities|
|US20140108427 *||Oct 7, 2013||Apr 17, 2014||Amazon Technologies, Inc.||Mining of user event data to identify users with common interests|
|US20140317212 *||Jun 30, 2014||Oct 23, 2014||Linkedin Corporation||Inline media|
|US20150134553 *||Jan 16, 2015||May 14, 2015||Facebook, Inc.||Providing Content Items Based on User Affinity in a Social Network Environment|
|WO2004111747A2 *||Jun 9, 2004||Dec 23, 2004||Soulgames Ltd||Apparatus and method for managing social games|
|WO2007083313A2 *||Jan 21, 2007||Jul 26, 2007||Famillion Ltd||Construction and use of a database|
|WO2008068766A1 *||Dec 9, 2007||Jun 12, 2008||Famillion Ltd||Methods and systems for secure communication over a public network|
|WO2009010948A1 *||Jul 18, 2007||Jan 22, 2009||Famillion Ltd||Method and system for use of a database of personal data records|
|WO2011119864A1 *||Mar 24, 2011||Sep 29, 2011||Findly, Inc.||Automated profile standardization and competency profile generation|
|Cooperative Classification||G06Q30/0201, H04L51/32, H04L12/588|
|European Classification||H04L12/58S, G06Q30/0201|
|Jun 14, 2004||AS||Assignment|
Owner name: YAHOO! INC., CALIFORNIA
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:HULL, MARK E.;PERELMAN, ELLEN S.;FARMER, F. RANDALL;REEL/FRAME:015466/0613;SIGNING DATES FROM 20040604 TO 20040607
Owner name: YAHOO! INC., CALIFORNIA
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:HULL, MARK E.;PERELMAN, ELLEN S.;FARMER, F. RANDALL;SIGNING DATES FROM 20040604 TO 20040607;REEL/FRAME:015466/0613